Search Packages

crested

CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

muon

muon is a multimodal omics Python framework

scatac-fragment-tools

Tools for working with scATAC-seq fragment files

scarf

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

scperturb

Python package with E-distance tools for single-cell perturbation data analysis.

pychromvar

A python package for chromVAR

cell-tools

Single-Cell Data Analysis Tools

chame

Chromatin analysis module

epione

EpiOne: Generative cartography of single-cell epigenomes

sc-tools

Single-Cell Data Analysis Tools

scarf-toolkit

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.